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Cancers
Special Issues
Advances in Cancer Data and Statistics: 2nd Edition
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Advances in Cancer Data and Statistics: 2nd Edition

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Informatics and Big Data".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 449

Special Issue Editor

Prof. Dr. Vesna Zadnik

E-Mail Website
Guest Editor
Slovenian Cancer Registry, Institute of Oncology Ljubljana, 1000 Ljubljana, Slovenia
Interests: cancer data; cancer registries; cancer epidemiology; geographical analysis, survival; time trends; socioeconomic inequalities
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is a continuation of our previous Special Issue titled “Advances in Cancer Data and Statistics” (https://www.mdpi.com/journal/cancers/special_issues/VL7N562734).

Data on cancer patients, their disease, treatments, and outcomes are being collected worldwide through population-based and hospital cancer registries, the purpose of which exceeds the scope of narrow-focus research. Traditionally, these data are used to understand the overall cancer burden and trends in populations and to evaluate the progress in cancer control and prevention efforts. Broader application of routinely collected data in cancer epidemiology, healthcare science, public health, and clinical settings drives the ongoing development of data storage, management, and analytic practices. The availability of data is also empowering the advancements in statistical methods and inferences based on their application. There is great potential for further improvement of data usage in exploring novel possibilities for linking health registries to various non-health databases, allowing for analyses of risk or prognostic factors that influence cancer outcomes.

This Special Issue will highlight the current state of the art and future prospects in cancer epidemiology based on data collected by cancer registries. Both novel usage of data as well as new epidemiological or statistical approaches are welcome.

Prof. Dr. Vesna Zadnik
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cancer registries
  • cancer incidence
  • cancer survival
  • population-based studies
  • cancer risk factors

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Published Papers (1 paper)

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21 pages, 406 KiB  
Systematic Review
Completeness Evaluation of Adult-Population-Based Cancer Registries: A Systematic Review
by Mariana P. Sousa, Teresa Monjardino, Cristina Costa Santos, Lúcio Lara and Maria José Bento
Cancers 2025, 17(7), 1123; https://doi.org/10.3390/cancers17071123 - 27 Mar 2025
Viewed by 339
Abstract
Population-based cancer registries are crucial for tracking cancer trends, supporting research, guiding policy decisions, and ensuring efficient healthcare resource allocation. However, their effectiveness relies heavily on data quality, specifically the completeness of the cancer registration process. Background/Objectives: This systematic review aims to identify [...] Read more.
Population-based cancer registries are crucial for tracking cancer trends, supporting research, guiding policy decisions, and ensuring efficient healthcare resource allocation. However, their effectiveness relies heavily on data quality, specifically the completeness of the cancer registration process. Background/Objectives: This systematic review aims to identify the methods used by adult population-based cancer registries worldwide to assess the completeness of their data. It also considered the significant role of high-quality data in method selection and the significant challenges of data handling. Methods: A comprehensive electronic literature search was conducted across the Web of Science, Scopus, and PubMed for studies published from January 2004 to December 2024. The review was written according to PRISMA guidelines, and the risk of bias was assessed using the Joanna Briggs Institute tool. Results: The review identified 83 studies from 31 countries, the majority from Europe, especially Nordic and Central European countries. Most studies met high-quality standards, with only one study scoring below 75%. Common approaches include independent case ascertainment (the most used), a capture–recapture analysis, a death-certificate-only analysis, and comparisons with historical rates. While independent case ascertainment is valuable when high-quality auxiliary sources are available, its accuracy varies. Other methods, like capture-recapture or Mortality-to-Incidence ratios, may be more accurate or feasible in some cases. Conclusions: The findings suggest that methods for completeness evaluations vary widely across registries, influenced by data quality and regional practices. The results emphasize the importance of the continuous refinement of these assessment methods to improve the reliability and global comparability of cancer registry data. Full article
(This article belongs to the Special Issue Advances in Cancer Data and Statistics: 2nd Edition)
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